Abstract [en]

General‐purpose DSP processors, application‐specific processors, and algorithm‐specific processors are used to implement different types of DSP systems or subsystems. They are typically used in applications involving complex and irregular algorithms while application‐specific processors provide lower unit cost and higher performance for a specific application, particularly when the volume of production is high. Most DSP applications use fractional arithmetic instead of integer arithmetic. Multimedia and communication applications involve real‐time audio and video/image processing which very often require sum‐of‐products (SOP) computation. The need of computing non‐linear functions arises in many different applications. The straightforward method of approximating an elementary function is to just store the values in a look‐up table typically leads to large tables, even though the resulting area from standard cell synthesis grows slower than the number of memory bits. It is of interest to find ways to approximate elementary functions using a trade‐off between arithmetic operations and look‐up tables.

Abstract [en]

In this work we discuss the realization of constant multiplication using a minimum number of carry-save adders. We consider both non-redundant and carry-save representation for the input data. For both cases we present all possible interconnection topologies, using up to six and five adders, respectively. These are sufficient to realize constant multiplications for all coefficients with a wordlength up to 19 bits.

Abstract [en]

Handbook of Signal Processing Systems is organized in three parts. The first part motivates representative applications that drive and apply state-of-the art methods for design and implementation of signal processing systems; the second part discusses architectures for implementing these applications; the third part focuses on compilers and simulation tools, describes models of computation and their associated design tools and methodologies. This handbook is an essential tool for professionals in many fields and researchers of all levels.

Abstract [en]

In this work, a design method for narrow-band and wide-band frequency-response masking FIR filters is proposed. As opposed to most previous works, the design method is not based on a periodic model filter. Instead, the masking filter is designed for a given stopband edge. The model filter design is based on optimizing the sparseness of the filter, and, hence, the resulting model filter is not required to be periodic.

Conference

Note

The original title of this article was "Design of Sparse Non-Periodic Frequency Response Masking Like FIR Filters".Available from: 2012-02-16 Created: 2012-02-16 Last updated: 2015-03-11Bibliographically approved

Abstract [en]

The power modeling of different realizations of cascaded integrator-comb (CIC) decimation filters has been a subject of several recent works. In this work we have extended these with modeling of leakage power, which is an important factor since the input sample rate may differ several orders of magnitude. Furthermore, we have pointed out the importance of the input wordlength on the comparison of recursive and nonrecursive implementations.

Abstract [en]

Doubly resistively terminated LC filters are optimal from an element sensitivity point of view and are therefore used as reference filter for high-performance active filters. The later inherits the sensitivity properties of the LC filter. Hence it is important to design the reference filter to have minimal element sensitivity. In this paper, we first review the mechanism for the low sensitivity and give an upper bound on the deviation in the passband attenuation. Next we compare classical lowpass approximations with respect to their influence on the sensitivity and propose the use of diminishing ripple in the passband to further reduce the sensitivity. Finally, we propose a design strategy for doubly resistively terminated LC filters with low sensitivity.

Wanhammar, Lars

Abstract [en]

This textbook provides a complete introduction to analog filters for senior undergraduate and graduate students. It covers the synthesis of analog filters as well as many other filter types including passive filters and filters with distributed elements. The material also addresses the basic circuit elements for the filters. Each chapter contains examples as well as problems and the author also provides a list of MATLAB functions.